... and maintain scalable and efficient data pipelines in Azure and Databricks Develop and optimize ETL processes using Azure Data Factory and Databricks Build Big Data solutions aligned with business requirements Collaborate with Data Science, BI, and development teams to ensure high-quality data Monitor performance of data ...
... fabric, and data modeling, - Enhance your technical and analytical skills by working with programming tools (like SQL, C, Python, SAS, R), and by understanding how data flows through banking IT architectures, - Work across disciplines, supporting clients in both optimizing their data management strategies and ensuring compliance ...
- Proven experience in operational management, utilizing tools and methodologies for consistent delivery. - Strong expertise in building, deploying, and using solutions for Data Security and Data Integration strategies. - Hands-on experience with Symantec/Broadcom Data Discovery , Veritas Data Insight , or similar tools. ...
We are looking for a Lead AI Data Software Engineer to join our Data Competency Center and make our team even stronger. The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities. Work as a Forward Deployed Engineer, ...
... Governance Job Family: Data Governance Foundation Time Type: Full time Primary Location Full Time Salary Range: 151920,00zł - 258680,00zł Most Relevant Skills Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy, Procedure, and Regulation, Program Management, Risk Controls and Monitors. ...
... every process better documented than you found it. What you’ll bring: The Ingredients - Hands-on experience with Microsoft Entra ID: including user and group management, enterprise application registration, access governance, and Privileged Identity Management (PIM). - A proven ability to troubleshoot identity lifecycle issues: ...
... successStrong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environmentBachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)Excellent English communication skills, ...
A leading tech company located in Warsaw seeks a skilled Data or Software Engineer with a strong focus on data engineering and software development. You will be responsible for designing and managing data pipelines using Databricks, as well as overseeing Azure infrastructure, including CI/CD processes. Ideal candidates ...
⭐ Data Center Technician (Onsite) – Warsaw, Poland Location: Warsaw, Poland Work Mode: Onsite Contract Type: Freelance Duration: Long-term project Role Overview We are looking for a Data Center Technician to support data center operations, hardware management, infrastructure maintenance, and technical support activities ...
... bezpieczeństwem, zarządzaniem danymi oraz rozwojem oprogramowania CZEGO OD CIEBIE OCZEKUJEMY? Must have: Minimum 3 lata doświadczenia komercyjnego na stanowisku Data Engineer w sektorze bankowym lub finansowym Bardzo dobra znajomość Python Praktyczne doświadczenie z PySpark Doświadczenie w pracy z Azure Databricks Znajomość ...
... inspiruje. Tworzymy, testujemy, wprowadzamy zmiany tam, gdzie mają sens. Budujemy rzeczy od zera i szukamy nowych rozwiązań. Brzmi dobrze? Dołącz do nas na stanowisko Data Engineer i razem z nami buduj przyszłość Internetu! Jakie działania będą należeć do Ciebie? Budowa i optymalizacja procesów zasilających modele danymi. Projektowanie ...
... work •2 years experience of working with data in data warehouses or 5 years experience working with MI/BI data Desirable experience: •Experience of data profiling •Knowledge of ETL processes •Understanding of data quality management •Understanding of data lifecycle management •Experience of working with data in Databricks
... knowledge we possess is specific for the team we look for a person that is open to learn, has good level of English and is ready for multitasking. Collateral management focus is to reduce credit risk by exchanging eligible cash or securities between counterparties. Based on the agreements between our clients and the counterparties ...
... working with large-scale datasets and data transformation pipelines Strong analytical and problem-solving skills Ability to translate business requirements into data solutions Experience coordinating analytical workstreams and sharing expertise with other analysts Strong stakeholder management and communication skills Experience ...
... priorities - Excellent collaboration and communication skills - Strong focus on measurable business value and outcomes - Continuous improvement mindset driven by data and user feedback - Change management and adoption leadership capabilities WHAT WE OFFER At Bridgestone, what really matter is to foster co-creation opportunities ...
... ensure accurate and effective data management in line with financial services compliance. Main Responsibilities: Support the GKYC program with comprehensive data analytics and reporting. Design and develop data models to enhance data quality and management. Collaborate with various business areas to implement necessary ...
... to front-end applications, AI engines, and reporting https://jobeax.com/link/hezhkFy5KI0z3lns with AI and data engineering teams to provide clean, structured datasets for model training and https://jobeax.com/link/QeaXu6h30fVvfPtL monitoring, alerting, and capacity management strategies to sustain high availability of critical ...
... and solutions. We’re building a network of experienced Data Analysts in Poland with a background in banking systems — people who know how work with financial datasets — analyzing performance metrics, creating visual reports, and supporting predictive models — all within established data governance frameworks. With us, you'll ...
... build optimized ETL/ELT pipelines for efficient data processing. Utilize advanced Python and SQL skills for scalable data transformations. Implement and optimize data processing frameworks using Apache Spark and Databricks. Work with Azure data services, including ADF/Synapse Pipelines and Azure SQL/Synapse. Manage data governance ...
... across three key areas: Building Core Data Infrastructure - designing scalable data integration layers, pipelines, data models, and data warehouses. Developing Data-Driven Solutions - creating backend logic and data-focused applications that support business processes and decision-making. Connecting Data with AI - preparing ...